Machine Learning
Explore LearnAI’s Machine Learning curriculum, practical learning topics and online, classroom and hybrid training options.
Explore current LearnAI programmes in this area. Confirm course, branch and batch availability with LearnAI. Online, classroom and hybrid options depend on the programme.
Explore LearnAI’s Machine Learning curriculum, practical learning topics and online, classroom and hybrid training options.
Explore LearnAI’s Data Science curriculum, practical learning topics and online, classroom and hybrid training options.
Learn to turn raw data into analysis, dashboards and explanations. Develop Power BI, SQL, Python, statistics and ETL skills, then explore advanced SQL, DAX, KPI design, data quality, predictive analytics and data storytelling.
Connect business questions with analysis of sales, customers, revenue, costs and operations. Build Power BI, SQL, Python, statistics and ETL skills, then explore requirements analysis, business KPIs, forecasting and decision support.
Learn to work with people data, from recruitment and workforce demographics to performance, attrition, compensation and workforce planning. Combine Power BI, SQL, Python, statistics and ETL with HR metrics and practical project work.
Learn to analyse audiences, acquisition channels, campaigns, conversion funnels and retention. Use Power BI, SQL, Python, statistics and ETL to explore marketing KPIs, ROI, ROAS, customer lifetime value and experimentation.
Explore patient, clinical, hospital operations and healthcare financial data. Build analytics foundations with Power BI, SQL, Python, statistics and ETL, then study quality indicators, population health, prediction and healthcare dashboards.
Learn to analyse revenue, expenses, profitability, budgets and cash flow. Build reporting and data preparation skills with Power BI, SQL, Python, statistics and ETL, then explore financial KPIs, forecasting, working capital and risk analytics.
Explore Relational databases and SQL foundations, SQL aggregation and joins, Advanced SQL analysis, Power Query and data preparation, Semantic modelling and further topics in the curriculum.
Explore Retail data and metrics, Data preparation with SQL, Customer analytics, Sales and inventory analysis, Pricing and promotions and further topics in the curriculum.